Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/55051
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dc.contributor.authorKirilenko, Andrei P.en_US
dc.contributor.authorStepchenkova, Svetlana O.en_US
dc.contributor.authorHernandez, Juan M.en_US
dc.date.accessioned2019-02-18T16:18:35Z-
dc.date.available2019-02-18T16:18:35Z-
dc.date.issued2019en_US
dc.identifier.issn0261-5177en_US
dc.identifier.urihttp://hdl.handle.net/10553/55051-
dc.description.abstractIn this paper we address the problem of clustering tourist attractions according to the tourists' interests that these attractions serve. With growing diversity of tourist interests, there is a new understanding of tourist clustering as formed by multiple proximity metrics with the social distance of the tourists playing a role similar to geographical distance. The study clusters Florida's destination attractions according to the visitation patterns of tourists from different origin markets: Floridians, out-of-state US visitors, and international travelers. Online reviews of attractions served as the proxy data for actual visitations. The study employs network analysis, spatial analysis, and geo-visualizations to deal with the data in the most comprehensive way. The same three attractions-interests clusters (Entertainment, Heritage, and Nature) emerged for each origin market. The similarities and differences in cluster composition and in how these clusters utilize attractions in the state of Florida are analyzed and discussed.
dc.languagespaen_US
dc.publisher0261-5177
dc.relation.ispartofTourism Managementen_US
dc.sourceTourism Management[ISSN 0261-5177],v. 72, p. 400-410en_US
dc.subject.otherTourism
dc.subject.otherImage
dc.subject.otherTwitter
dc.titleComparative clustering of destination attractions for different origin markets with network and spatial analyses of online reviewsen_US
dc.typeinfo:eu-repo/semantics/reviewen_US
dc.typeArticleen_US
dc.identifier.doi10.1016/j.tourman.2019.01.001
dc.identifier.scopus85059868844
dc.identifier.isi000458709600037
dc.contributor.authorscopusid23392539900
dc.contributor.authorscopusid14042906400
dc.contributor.authorscopusid7403026151
dc.description.lastpage410-
dc.description.firstpage400-
dc.relation.volume72-
dc.type2Reseñaen_US
dc.contributor.daisngid928872
dc.contributor.daisngid1301823
dc.contributor.daisngid1765491
dc.contributor.wosstandardWOS:Kirilenko, AP
dc.contributor.wosstandardWOS:Stepchenkova, SO
dc.contributor.wosstandardWOS:Hernandez, JM
dc.date.coverdateJunio 2019
dc.identifier.ulpgces
dc.description.sjr3,068
dc.description.jcr7432,0
dc.description.sjrqQ1
dc.description.jcrqQ1
dc.description.ssciSSCI
dc.description.erihplusERIH PLUS
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptGIR TIDES: Economía, medioambiente, sostenibilidad y turismo-
crisitem.author.deptIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.deptDepartamento de Métodos Cuantitativos en Economía y Gestión-
crisitem.author.orcid0000-0001-6897-5179-
crisitem.author.parentorgIU de Turismo y Desarrollo Económico Sostenible-
crisitem.author.fullNameHernández Guerra, Juan María-
Colección:Reseña
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